CN104158199B - Power system real-time status is carried out the system and method for reactive power and voltage control - Google Patents
Power system real-time status is carried out the system and method for reactive power and voltage control Download PDFInfo
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- CN104158199B CN104158199B CN201410382529.4A CN201410382529A CN104158199B CN 104158199 B CN104158199 B CN 104158199B CN 201410382529 A CN201410382529 A CN 201410382529A CN 104158199 B CN104158199 B CN 104158199B
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Abstract
nullThe invention discloses a kind of system and method that power system real-time status is carried out reactive power and voltage control，Utilize data acquisition and screening module、BPA data resolution module、BPA data flow correction verification module、BPA data network equivalence module、CIM parsing module、Parameter setting module、Reactive Voltage Optimum module、Result shows that output module and DBM carry out the collection of real time data、Resolve、Reactive Voltage Optimum calculates and result output contrast，By deriving real-time BPA data and CIM data respectively，Two kinds of flow data is resolved，Interior point method based on Constraints is used to carry out idle work optimization calculating，Try to achieve network transformer gear optimization to adjust、The optimization Switching Strategy of capacity reactance device group，Provide the side of distributing rationally of electric network reactive compensation，The coordination of the reactive power being capable of the whole network controls，Improve the whole network quality of voltage，Improve voltage security and reduce the effect of operation of power networks active loss.
Description
Technical field
The present invention relates to electric network reactive-load analysis and Optimized-control Technique field, specifically a kind of for the real-time shape of power system
State carries out the system and method for reactive power and voltage control.
Background technology
Formulate the rational power system reactive power method of operation be one with high content of technology, content is complicated, is related to electrical network energy
The highly important work of no safe and stable operation, is also the routine work of electrical network at different levels simultaneously.Along with power system day by day
Expand, the access of new forms of energy, the interconnection of ac and dc systems, the coordination of extreme misery power scheduling, formulated the method for operation of electrical network
Day by day complicated, need the problem considered also to get more and more.Meanwhile, owing to being responsible to define the personnel of the electric network reactive-load method of operation
The difference of working experience, it is considered to problem mode is different, is restricted by formulating the method for operation distinctive deadline in addition so that
The idle method of operation that different personnel make is the most variant, the most even takes a substantial amount of time and is all difficult to energy find
Satisfied result.
Summary of the invention
It is an object of the invention to, it is provided that a kind of power system reactive power voltage optimization based on real-time data of power grid
Control system and method, the real-time voltage for Operation of Electric Systems controls to provide adjustable strategies.
For achieving the above object, the present invention is by the following technical solutions:
A kind of system that power system real-time status is carried out reactive power and voltage control, it is characterised in that include data
Gather and screening module, BPA data resolution module, BPA data flow correction verification module, BPA data network equivalence module, CIM mould
Type parsing module, parameter setting module, reactive Voltage Optimum module, result show output module and DBM；
The effect of data acquisition and screening module is to use data acquisition interface from electrical network OPEN3000 system and SCADA
CIM data and the rack data of BPA data acquisition current system operation and service data, and root is gathered respectively in system
Select to enter the calculation process corresponding with this data type according to the data type derived；
The effect of BPA data flow correction verification module is to carry out Load flow calculation according to the BPA data file derived, it is judged that this number
Convergence according to the electric power system tide that file describes；
The effect of BPA data resolution module is according to the type of card in BPA data file and data structure, parses
The basic parameter of each element of power system and the operational factor of correspondence, be converted into self-defining data form, comprises and is
System population parameter, balance node parameter, transmission line parameter, ground connection branch parameters, transformator information, tunable capacitor reactance ginseng
Number, node power parameter, force parameter of gaining merit, idle go out force parameter, voltage parameter, current parameters, node is compiled again
Number, and generate the node serial number synopsis corresponding with node name in the middle of BPA data；
The effect of BPA data network equivalence module is the calculation of tidal current according to BPA data, whole network data employing etc.
Value generator principle, needing the system equivalent carried out beyond reactive power/voltage control region to become electromotor, reduces required calculating
Network size；
The effect of CIM parsing module is according to the power system of storage in units of class in CIM in XML file
Equipment, by analyzing its topological relation, generates the rack data of power system；By corresponding device name, DT file is worked as
In service data be combined with the rack data of generation, thus obtain self-defining data form, comprise system population parameter, flat
Weighing apparatus node parameter, transmission line parameter, ground connection branch parameters, transformator information, tunable capacitor reactance parameter, node power ginseng
Number, force parameter of gaining merit, idle go out force parameter, voltage parameter, current parameters；
The effect of parameter setting module is before carrying out idle work optimization, forms the constraints of parameters optimization and determines ginseng
With the control variable optimized, including the control strategy parameter of controls parameter, constrained parameters and the system arranging system, optimization
Parameter joins in the middle of self-defining data, forms the calculating data calculated eventually for idle work optimization；
The effect of reactive Voltage Optimum module is the generator output to power system, on-load transformer tap changer shelves
Position, the switching of capacity reactance device group are adjusted, so that the voltage at each bus of system meets each electric pressure
Security constraint requirement, and optimize the via net loss of system.
The effect of DBM is the data needed for management calculates, and stores with data tableau format；The number used
It is ACCESS data base according to storehouse；
Result shows that the effect of output module is to open up the control variable after idle work optimization calculating and state variable
Showing and compare, the result of calculation for BPA data form then needs result of calculation to be written back in the middle of BPA data file, defeated
Go out final destination file.
A kind of with above-mentioned power system real-time status is carried out the controlling party that the system of reactive power and voltage control adapts
Described by the BPA formatted data file that method, the CIM data file derived for OPEN3000 and SCADA system derive
Power system carry out idle work optimization calculating；Specifically include following steps:
Step one, acquisition data file:
From SCADA system, the DAT form real-time BPA data file of Operation of Electric Systems is obtained by data-interface, from
OPEN3000 system obtains CIM file, including the XML format rack data file in CIM formatted file and DT lattice
Formula service data file；
Step 2, carries out Load flow calculation or data parsing according to the type of data file:
Load flow calculation follows the steps below for BPA data file:
(1) using PSD-BPA power system analysis software that BPA data file performs flow calculation program, verification runs
Mode is the most reasonable；Judge that Load flow calculation restrains situation by Load flow calculation PFO destination file, as Load flow calculation is restrained, then enter
The calculating of row next step；If Load flow calculation is not restrained, then need check and revise BPA data file, again hold after completing
Row Load flow calculation, the condition meeting Load flow calculation convergence could enter idle work optimization calculating；
(2) according to the power system rack described by each card in BPA data form and service data information, by BPA
Format analysis is also converted into self-defining data form, comprise power plant meritorious and idle exert oneself, load gain merit and idle go out
Busbar voltage, the switching situation of capacity reactance device group and the gear value of on-load transformer tap changer at power, load, to node
Renumber, and generate the node serial number synopsis corresponding with node name in the middle of BPA data；
(3) use self-defined equivalence method, go out by the system equivalent outside required choropleth is become constant electromotor
Power, is the relevant range needing to carry out reactive power voltage optimization control area by BPA formatted data equivalence；Choropleth is had
Carry out idle work optimization, simultaneously the calculating scale of reduction system targetedly, accelerate to calculate speed, to meet what control in real time optimized
Requirement；
Data parsing follows the steps below for CIM data file:
(1) according to the power system device stored in units of class in CIM in XML file, its topological relation is analyzed,
Generate the rack data of power system；By corresponding device title, by the rack number of the service data in the middle of DT file Yu generation
According to combination, thus obtain self-defining data form, comprise power plant meritorious and idle exert oneself, load gain merit and idle go out
Busbar voltage, the switching situation of capacity reactance device group and the gear value of on-load transformer tap changer at power, load；
(2) electromotor in selection system is as balancing machine, as the balance node of system in optimizing calculating；
Step 3, arranges parameters optimization:
The control parameter of system, system restriction parameter, system control strategy and system population parameter are set；Control parameter
Including the controlled quentity controlled variable of participation idle work optimization, participate in idle work optimization including which transformator and capacity reactance device and adjust；System is about
Bundle parameter includes the limits value of system state variables bound, including voltage bound；System control strategy is control variable
Basic parameter, including transformator and the relevant basic parameter of capacity reactance device；System population parameter includes the choosing of object function
Select the setting with iterations；Then, in the middle of the parameter read-in self-defining data that will set, as the calculating number of idle work optimization
According to；
Step 4, optimizes and calculates:
Reactive power optimization of power system is one and comprises continuously and discrete variable Nonlinear Mixed Integer Programming Problem, therefore
Modern interior-point theory based on complementary theory is used to carry out idle work optimization calculating；If idle work optimization calculates convergence, then export meter
Calculate result；Do not restrain if calculated, then again hold after needing to readjust system control parameters, constrained parameters and control strategy
Row idle work optimization calculates；Finally obtain and meet the reactive power and voltage control strategy that power system safety and stability runs；
The result form that step 5, generation control variable and state variable are relevant, the bus to the system before and after optimizing
The switching situation of voltage, generator output, load tap changer gear and the equipment of compensation is analyzed；So far, CIM data
The idle work optimization of the power system described by file calculates and terminates；The idle work optimization of the power system described by BPA data file
Enter step 6；
Step 6, is written back in the middle of BPA data file optimizing the result after calculating, and uses PSD-BPA power system
Analyze software and it is carried out trend checking；System load flow result as Load flow calculation is restrained, after output write-back；If do not restrained, need
Want the constraint setting in the middle of adjusting and optimizing process and control variable to arrange, the most again perform step 4.
This method can reach following effect:
(1) OPEN3000 in power system and SCADA system can be obtained power system in real time by data-interface
Running mode data, and to obtain rack data and service data resolve.The required power system solved is carried out
Idle work optimization, is quickly met the load tap changer of power system safety and stability requirement, reactive power compensator switching, generating
Machine active reactive such as is exerted oneself at the adjustable strategies of controlled quentity controlled variable, controls to provide theoretical foundation and reference for reactive power voltage optimization.
(2) compared with traditional reactive power voltage control approach AVC, this method uses Modern Interior Point Optimization Algorithm to carry out the whole network
Optimize, try to achieve the optimal control policy obtained under this system runs constraint, can the overall reactive voltage improving power system
Level.
(3) compared with traditional idle work optimization method, the method obtains the real-time of Operation of Electric Systems by design interface
Data, resolve and obtain self-defining data form and be optimized calculating so that electricity has been arrived in idle work optimization method successful application
Controlling in real time of Force system is central.
(4) according to the data obtained, can carry out that power system is online and the calculating of off-line.The data obtained are real-time
During data, carry out real-time optimization calculating and be in line computation.It is the method for operation number of planning and designing and formulation such as import
According to, then the method for operation that is the most reasonable with check system planning and designing or that formulate whether can meet the requirement that system is run.
Accompanying drawing explanation
Fig. 1 is the method flow carrying out reactive power and voltage control for power system real-time status of the present invention
Figure.
Detailed description of the invention
Test example one:
As a example by the electrical network of somewhere, the BPA data under its 2013 rich big modes are carried out reactive power voltage optimization control
System.
Step one: obtain the BPA data under rich big mode in 2013 by data-interface.
Step 2: trend check results shows, this real-time BPA data flow calculates convergence.
Step 3: from comprising in the middle of the regional power grid BPA data of this area's electrical network, finds out and relevant to this area's electrical network is
System information, and the power system outside area is carried out equivalence.Before equivalent, system comprises 10567 nodes, 7680 transmission lines of electricity.
Through self-defined equivalence, valve system is waited to comprise 2175 nodes, 1683 transmission lines of electricity.Significantly reduce the system of required optimization
Scale.
Step 4: optimal parameters is set.
(1) control variable parameter is arranged
Control variable includes: meritorious exerts oneself, idle exert oneself, transformer tapping, capacity reactance device switching group number.Wherein:
Idle exert oneself: the BQ node etc. of this electrical network；
Transformer tapping: the adjustable variable station transformer tapping of each electric pressure of this electrical network；
Capacity reactance device capacity: the capacitor configuration capacity of each transformer station of this electrical network, reactor configuration capacity.
(2) constraints parameter is arranged
Constrained parameters include: the constraint of interconnection reactive power, node voltage；
Node voltage: voltage limits the bus electricity including this electrical network 500kV, 220kV, 110kV, 35kV and below 35kV
Pressure, generator voltage；
Restriction scope such as following table:
Table 1-1 node voltage limits scope
| Busbar voltage grade (kV) | Voltage limits (kV) |
| 500 | 500-550 |
| 220 | 220-242 |
| 110 | 106.7-117 |
| 35 | 33.95-37.45 |
| 10 | 10-10.7 |
Remarks:
1, the substation bus bar of this electrical network 220kV:
The most grand, Yan Ling, Long Wan, harbour, Gao Sha, Ya Jiang, it is close to Pu, Lan Ping.
2, the substation bus bar of this electrical network 110kV:
Long Wan, harbour, Gao Sha, Ya Jiang, be close to Pu, Lan Ping, ox head gulf, Liu room, hope virtuous, Lingshan, Fo Ziao, Jin Liang, square,
Fruit mountain, little Dong, room, land, white stony edema, Zhai Xu, before that, Real Madrid, fruit mountain, bonded, land for growing field crops, the east of a river, Shitang, sand flat, Yan Ling.
3, the substation bus bar of this electrical network 35kV:
Ox head gulf, Liu room, before that, white stony edema, the Lingshan, Zhai Xu, Jin Liang, land for growing field crops, Real Madrid, Shitang, sand flat, prestige be virtuous, little Dong,
Room, land.
4, the substation bus bar of this electrical network 10kV:
Dragon gulf 10KV II section, harbour, Gao Sha, Ya Jiang, ox head gulf, Liu room, hope virtuous, Lingshan, Fo Ziao, Jin Liang, square, really
Sub-mountain, bonded area, Real Madrid, land for growing field crops, the east of a river, be close to Pu, Lan Ping, dragon gulf 10KV I section, little Dong, room, land, white stony edema, Zhai Xu, before that,
Shitang, sand flat.
Step 5: use modern interior point method based on complementary theory to be optimized calculating.
Step 6: before and after optimization, voltage out-of-limit situation and controlled quentity controlled variable are as shown in table 1-2, table 1-3, table 1-4, table 1-5.Control
Amount processed change table is as shown in table 1-6, table 1-7.
Step 7: incite somebody to action according to the rules for writing of BPA data, the controlled quentity controlled variable after each adjustment can be write in the middle of BPA data file,
And perform Load flow calculation.Before and after write-back, voltage ratio is relatively as shown in table 1-2, table 1-3, table 1-4, table 1-5.
Quality of voltage is analyzed:
In the bus of 220kV, voltage is the most qualified, does not all have out-of-limit situation before and after optimization.
In the bus of 110kV, having 7 nodes out-of-limit before optimization, out-of-limit ratio reaches 21.21%, does not has node after optimization
Out-of-limit, but owing to write-back exists error, after write-back, there is 1 the out-of-limit numerical value of node the least.
In the bus of 35kV, having 12 nodes out-of-limit before optimization, out-of-limit ratio reaches 63.16%, does not has node after optimization
Out-of-limit, but owing to write-back exists error, after write-back, there are 2 nodes out-of-limit, and out-of-limit numerical value is the least.
In the bus of 10kV, having 22 nodes out-of-limit before optimization, out-of-limit ratio reaches 53.66%, does not has node after optimization
Out-of-limit, but owing to write-back exists error, after write-back, there are 3 nodes out-of-limit, and out-of-limit numerical value is the least.
The electrical network 220kV out-of-limit situation analysis of electric pressure busbar voltage before and after table 1-2 optimization
The electrical network 110kV out-of-limit situation analysis of electric pressure busbar voltage before and after table 1-3 optimization
The electrical network 35kV out-of-limit situation analysis of electric pressure busbar voltage before and after table 1-4 optimization
The electrical network 10kV out-of-limit situation analysis of electric pressure busbar voltage before and after table 1-5 optimization
Electrical network each main transformer tap joint position before and after table 1-6 optimization
Electrical network each reactive compensation capacity of substation summary sheet unit: Mvar before and after table 1-7 optimization
Interpretation of result:
After using this method to optimize, the quality of voltage of this electrical network is significantly improved；In the bus of 110kV, before optimization
Out-of-limit ratio reach 21.21%, do not have node out-of-limit after optimization.In the bus of 35kV, the out-of-limit ratio before optimization reaches
63.16%, do not have node out-of-limit after optimization.In the bus of 10kV, the out-of-limit ratio before optimization reaches 53.66%, does not has after optimization
There is node out-of-limit.
Due to reasonable switched capacitor, reactor and adjustment transformer tapping, the control of each plant stand busbar voltage of this electrical network
System meets system voltage service requirement.Idle stream on the whole network circuit also significantly reduces, and circuit does not has jumbo idle merit
Rate is transmitted, thus the network loss of this electrical network has obtained effective control, and before optimizing, the active power loss of this electrical network is 20.322MW, optimizes
After active power loss be 19.471MW, after optimization active power loss than optimize before reduce 0.851MW.
Test example two:
Use the power system as test example one, obtain CIM data literary composition during 12:03 on the 29th in its March in 2013
Part, and carry out reactive power/voltage control optimization.It is consistent with test that its system master data and voltage limit requirement, omits at this.
Step one: obtain CIM data file, including rack data and the service data of E form of DAT form.
Step 2: combine rack data and service data, resolves and generates the user-defined format data optimized needed for calculating.
Step 3: select long grand change 500kV bus as system balancing node.
Step 4: (generator reactive exerts oneself, on-load transformer tap changer, electric capacity to select system adjustable control variable
Reactor) and the bound etc. of voltage restriction.
Step 5: use modern interior point method based on complementary theory to be optimized calculating.
Step 6: before and after optimization, voltage out-of-limit situation and controlled quentity controlled variable are as shown in table 2-1.Controlled quentity controlled variable change table such as table 2-2,
Shown in table 2-3.
(1) quality of voltage analysis:
Before optimization, after optimization, the out-of-limit situation of electrical network busbar voltage is as shown in table 2-1；Before optimizing, electrical network has 6 nodes out-of-limit,
By the calculating of idle work optimization module, not having node out-of-limit after optimization, concrete outcome is analyzed as follows:
In the bus of 220kV, voltage is the most qualified, does not all have out-of-limit situation before and after optimization.
In the bus of 110kV, there is 1 node out-of-limit before optimization, after optimization, do not have node out-of-limit.
In the bus of 35kV, there are 5 nodes out-of-limit before optimization, after optimization, do not have node out-of-limit.
In the bus of 10kV, voltage is the most qualified, does not all have out-of-limit situation before and after optimization.
The out-of-limit situation analysis of electrical network busbar voltage before and after table 2-1 optimization
Electrical network each main transformer tap joint position before and after table 2-2 optimization
Electrical network each Substation Reactive-power Compensation switching summary sheet unit: Mvar before and after table 2-3 optimization
Interpretation of result
After using software optimization, the quality of voltage under this electrical network section method of operation when 12:03 on the 29th March in 2013
It is significantly improved；Before optimizing, electrical network has 6 nodes out-of-limit, by the calculating of idle work optimization module, does not has node after optimization
Out-of-limit, concrete outcome is as follows: in the bus of 110kV, has 1 node out-of-limit, do not have node out-of-limit after optimization before optimization.35kV's
In bus, there are 5 nodes out-of-limit before optimization, after optimization, do not have node out-of-limit.
Due to reasonable switched capacitor, reactor and adjustment transformer tapping, the control of each plant stand busbar voltage of electrical network
Meet " power system voltage quality and var administrative provisions " and " CHINA SOUTHERN POWER power system quality and var
Administrative standard ".Idle stream on the whole network circuit also significantly reduces, and circuit does not has jumbo reactive power transmit, thus electric
The network loss of net has obtained effective control, and before optimizing, total network loss of electrical network is 13.44MW, and the total network loss after optimization is 10.74MW,
After optimization, total network loss is than reducing 2.7MW before optimizing.
Claims (3)
1. the system that power system real-time status is carried out reactive power and voltage control, it is characterised in that include data acquisition
Collection and screening module, BPA data resolution module, BPA data flow correction verification module, BPA data network equivalence module, CIM
Parsing module, parameter setting module, reactive Voltage Optimum module, result show output module and DBM；
The effect of data acquisition and screening module is to use data acquisition interface from electrical network OPEN3000 system and SCADA system
Upper gather rack data and the service data that CIM data and BPA data acquisition current system run respectively, and according to leading
The data type gone out selects to enter the calculation process corresponding with this data type；
The effect of BPA data flow correction verification module is to carry out Load flow calculation according to the BPA data file derived, it is judged that this data literary composition
The convergence of the electric power system tide that part describes；
The effect of BPA data resolution module is according to the type of card in BPA data file and data structure, parses electric power
The basic parameter of each element of system and the operational factor of correspondence, be converted into self-defining data form, comprise system total
Body parameter, balance node parameter, transmission line parameter, ground connection branch parameters, transformator information, tunable capacitor reactance parameter, joint
Point power parameter, force parameter of gaining merit, idle go out force parameter, voltage parameter, current parameters, node is renumberd, and
Generate the node serial number synopsis corresponding with node name in the middle of BPA data；
The effect of BPA data network equivalence module is the calculation of tidal current according to BPA data, uses equivalence to send out whole network data
Principle of Electric Engine, needing the system equivalent carried out beyond reactive power/voltage control region to become electromotor, reduces the network of required calculating
Scale；
The effect of CIM parsing module is to set according to the power system stored in units of class in CIM in XML file
Standby, by analyzing its topological relation, generate the rack data of power system；By corresponding device name, in the middle of DT file
Service data be combined with the rack data of generation, thus obtain self-defining data form, comprise system population parameter, balance
Node parameter, transmission line parameter, ground connection branch parameters, transformator information, tunable capacitor reactance parameter, node power parameter,
Gain merit force parameter, idle go out force parameter, voltage parameter, current parameters；
The effect of parameter setting module is before carrying out idle work optimization, forms the constraints of parameters optimization and determines that participation is excellent
The control variable changed, including the control strategy parameter of control parameter, constrained parameters and the system arranging system, parameters optimization
Join in the middle of self-defining data, form the calculating data calculated eventually for idle work optimization；
The effect of reactive Voltage Optimum module be the generator output to power system, on-load transformer tap changer gear,
The switching of capacity reactance device group is adjusted, so that the voltage at each bus of system meets the safety of each electric pressure
Constraint requirements, and optimize the via net loss of system；
The effect of DBM is the data needed for management calculates, and stores with data tableau format；
Result show output module effect be to idle work optimization calculate after control variable and state variable be shown with
And compare, the result of calculation for BPA data form then needs result of calculation to be written back in the middle of BPA data file, exports
Whole destination file.
The system that power system real-time status is carried out reactive power and voltage control the most according to claim 1, its feature
Being, the data base that described DBM uses is ACCESS data base.
3. one kind with the system phase that power system real-time status is carried out reactive power and voltage control described in claim 1 or 2
The BPA form number that the control method adapted to, the CIM data file derived for OPEN3000 and SCADA system derive
Idle work optimization calculating is carried out according to the power system described by file；It is characterized in that, specifically include following steps:
Step one, acquisition data file:
From SCADA system, the DAT form real-time BPA data file of Operation of Electric Systems is obtained by data-interface, from
OPEN3000 system obtains CIM file, including the XML format rack data file in CIM formatted file and DT lattice
Formula service data file；
Step 2, carries out Load flow calculation or data parsing according to the type of data file:
Load flow calculation follows the steps below for BPA data file:
(1) use PSD-BPA power system analysis software that BPA data file is performed flow calculation program, verify the method for operation
The most reasonable；Judge that Load flow calculation restrains situation by Load flow calculation PFO destination file, as Load flow calculation is restrained, then under carrying out
The calculating of one step；If Load flow calculation is not restrained, then need check and revise BPA data file, after completing, again perform tide
Stream calculation, the condition meeting Load flow calculation convergence could enter idle work optimization calculating；
(2) according to the power system rack described by each card in BPA data form and service data information, by BPA form
Resolve and be converted into self-defining data form, comprise power plant meritorious and idle exert oneself, load meritorious and idle exert oneself, negative
At load, busbar voltage, the switching situation of capacity reactance device group and the gear value of on-load transformer tap changer, carried out node
Renumber, and generate the node serial number synopsis corresponding with node name in the middle of BPA data；
(3) self-defined equivalence method is used, by the system equivalent outside required choropleth is become constant generator output, will
BPA formatted data equivalence is the relevant range needing to carry out reactive power voltage optimization control area；Choropleth is had for
Property carry out idle work optimization, the calculating scale of reduction system simultaneously, accelerate to calculate speed, to meet wanting of controlling in real time to optimize
Ask；
Data parsing follows the steps below for CIM data file:
(1) according to the power system device stored in units of class in CIM in XML file, analyze its topological relation, generate
The rack data of power system；By corresponding device title, by the rack data knot of the service data in the middle of DT file with generation
Close, thus obtain self-defining data form, comprise power plant meritorious and idle exert oneself, load meritorious and idle exert oneself, negative
Busbar voltage, the switching situation of capacity reactance device group and the gear value of on-load transformer tap changer at load；
(2) electromotor in selection system is as balancing machine, as the balance node of system in optimizing calculating；
Step 3, arranges parameters optimization:
The control parameter of system, system restriction parameter, system control strategy and system population parameter are set；Control parameter to include
Participate in the controlled quentity controlled variable of idle work optimization, participate in idle work optimization including which transformator and capacity reactance device and adjust；System restriction is joined
Number includes the limits value of system state variables bound, including voltage bound；System control strategy is the basic of control variable
Parameter, including transformator and the relevant basic parameter of capacity reactance device；System population parameter includes the selection of object function and changes
The setting of generation number；Then, in the middle of the parameter read-in self-defining data that will set, as the calculating number of reactive Voltage Optimum
According to；
Step 4, optimizes and calculates:
Reactive power optimization of power system is one and comprises continuously and discrete variable Nonlinear Mixed Integer Programming Problem, therefore uses
Modern interior-point theory based on complementary theory carries out idle work optimization calculating；If idle work optimization calculates convergence, then output calculates knot
Really；Do not restrain if calculated, then again perform nothing after needing to readjust system control parameters, constrained parameters and control strategy
Merit optimization calculates；Finally obtain and meet the reactive power and voltage control strategy that power system safety and stability runs；
Step 5, generates the result form that control variable and state variable are relevant, to the busbar voltage of the system before and after optimizing,
The switching situation of generator output, load tap changer gear and the equipment of compensation is analyzed；So far, CIM data file
The idle work optimization of described power system calculates and terminates；The idle work optimization of the power system described by BPA data file enters
Step 6；
Step 6, is written back in the middle of BPA data file optimizing the result after calculating, and uses PSD-BPA Power System Analysis
Software carries out trend checking to it；System load flow result as Load flow calculation is restrained, after output write-back；If do not restrained, need to adjust
Constraint setting and control variable in the middle of whole optimization process are arranged, and the most again perform step 4.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410382529.4A CN104158199B (en) | 2014-08-05 | 2014-08-05 | Power system real-time status is carried out the system and method for reactive power and voltage control |
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| CN104466979B (en) * | 2014-12-03 | 2017-01-25 | 上海电机学院 | Transmission grid reactive power optimization regulation and control system and method |
| CN106230000A (en) * | 2016-08-30 | 2016-12-14 | 合肥智博电气有限公司 | Electromagnetism voltage-stabilizing energy-saving device reactive power compensator |
| CN106786624B (en) * | 2016-12-12 | 2019-04-30 | 国网福建晋江市供电有限公司 | A kind of the whole network reactive Voltage Optimum hierarchical control method and system |
| CN109599873B (en) * | 2018-11-21 | 2022-04-12 | 国网江西省电力有限公司电力科学研究院 | Single-line single-station low-voltage station area gear optimization method |
| CN109472006B (en) * | 2018-11-30 | 2023-07-25 | 广西电网有限责任公司电力科学研究院 | Calculation result screening method based on PSD-BPA |
| CN114050580A (en) * | 2021-11-10 | 2022-02-15 | 许继集团有限公司 | Voltage regulation method and device for regional-level hundred-percent new energy power system |
| CN117220356B (en) * | 2023-11-09 | 2024-01-16 | 国网四川省电力公司电力科学研究院 | Multi-time-scale-based annual loss reduction operation optimization method and system for power transmission network |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101236575A (en) * | 2008-01-30 | 2008-08-06 | 山东大学 | Black start assistant decision making support/training system and its method |
| CN101692575A (en) * | 2009-10-12 | 2010-04-07 | 中国电力科学研究院 | Method for processing data for real-time load flow calculation in large electric systems |
| CN102684188A (en) * | 2012-05-09 | 2012-09-19 | 广西大学 | Large and small running mode reactive power optimizing and joint adjusting method of electric system |
| CN103177341A (en) * | 2013-03-29 | 2013-06-26 | 山东电力集团公司 | Line loss lean comprehensive management system and method |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| WO2007106430A2 (en) * | 2006-03-10 | 2007-09-20 | Edsa Micro Corporation | Systems and methods for real- time protective device evaluation in an electrical power distribution system |
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Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101236575A (en) * | 2008-01-30 | 2008-08-06 | 山东大学 | Black start assistant decision making support/training system and its method |
| CN101692575A (en) * | 2009-10-12 | 2010-04-07 | 中国电力科学研究院 | Method for processing data for real-time load flow calculation in large electric systems |
| CN102684188A (en) * | 2012-05-09 | 2012-09-19 | 广西大学 | Large and small running mode reactive power optimizing and joint adjusting method of electric system |
| CN103177341A (en) * | 2013-03-29 | 2013-06-26 | 山东电力集团公司 | Line loss lean comprehensive management system and method |
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